The sounds in our everyday environment carry a huge amount of information of the events occurring nearby.
Humans are able to recognize and discern many sound events but state-of-the-art automatic processing of sounds by machines still lags far behind.
Further research is needed to develop robust systems capable of recognizing a wide range of sound events in realistic audio streams [1]}.
In recent years, the various editions of the DCASE Challenge have provided scenarios for evaluating different computational methods for several sound recognition tasks using common publicly available datasets [2]}.
This paper describes the characteristics, dataset and baseline of DCASE 2018 Task 2 “General-purpose audio tagging of Freesound content with AudioSet labels”.
